strikeout

For all professional baseball players in the 2004 season, dataset gives the
number of strikeouts and at-bats when runners are in scoring position and when
runners are not in scoring position.

datasets

A collection of functions helpful in learning the basic tenets of Bayesian statistical inference.  It contains functions for summarizing basic one and two parameter posterior distributions and predictive distributions.  It contains MCMC algorithms for summarizing posterior distributions defined by the user.  It also contains functions for regression models, hierarchical models, Bayesian tests, and illustrations of Gibbs sampling.

Jim Albert

LearnBayes

Functions for Learning Bayesian Inference

strikeout function

A data frame with 438 observations on the following 4 variables.<dl class="dl-horizontal">
 <dt>r</dt><dd>number of strikeouts of player when runners are not in scoring position</dd>
 <dt>n</dt><dd>number of at-bats of player when runners are not in scoring position</dd>
 <dt>s</dt><dd>number of strikeouts of player when runners are in scoring position</dd>
 <dt>m</dt><dd>number of at-bats of player when runners are in scoring position</dd>
 </dl>

Format

Baseball strikeout data — strikeout

A data frame with 438 observations on the following 4 variables.<dl class='dl-horizontal'>
 <dt>r</dt><dd>number of strikeouts of player when runners are not in scoring position</dd>
 <dt>n</dt><dd>number of at-bats of player when runners are not in scoring position</dd>
 <dt>s</dt><dd>number of strikeouts of player when runners are in scoring position</dd>
 <dt>m</dt><dd>number of at-bats of player when runners are in scoring position</dd>
 </dl>

strikeout: Baseball strikeout data

Description

Usage

Arguments

Format